ArticleUrolithiasis2026
Measuring and analyzing objective factors of impacted ureteral stones on Non-Contrast Computed Tomography (NCCT): a retrospective case-control study.
Article in Urolithiasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stone impaction significantly increases the difficulty of ureteroscopic surgery (URS). While various CT-based parameters have been proposed to predict impaction, direct measurement of ureteral wall thickness (UWT) often lacks accuracy due to imaging artifacts and low conspicuity. This study aimed to identify reliable objective factors, particularly the Ureteral Dilation Coefficient (UDC), to predict ureteral stone impaction. We conducted a retrospective analysis of 189 patients who underwent URS between 2022 and 2025. Patients were divided into Impacted (n = 101) and Non-impacted (n = 88) groups based on intraoperative guidewire passage. Impaction was defined intraoperatively based on the inability to pass a guidewire past the stone.All CT images were evaluated using a bowel window with contrast inversion. We measured standard parameters and calculated the UDC. Inter-observer reliability was assessed using Intraclass Correlation Coefficients (ICC). Multivariate logistic regression was used to identify independent predictors and construct the Prediction Risk Estimation(PRE) model, which was validated using Bootstrap and Propensity Score Matching (PSM). ROC curves and Decision Curve Analysis (DCA) were performed to evaluate performance. UDC demonstrated excellent reproducibility (ICC > 0.85). Multivariate analysis revealed that Laterality, Maximum Stone Length (MSL), Ureteral Outer Area HUD Above stone (UOAHUDA), and UDC were independent predictors of impaction. Notably, UDC exhibited the highest Odds Ratio (OR = 8.156, 95% CI: 3.459-19.233, P < 0.001). The combined prediction model (PRE) achieved an AUC of 0.820, outperforming parameters. Bootstrap validation confirmed the model's stability, and PSM analysis further validated the robustness of UDC (OR = 3.681, P = 0.041). DCA demonstrated the model's clinical utility. The UDC is the independent predictor of ureteral stone impaction. The integration of UDC with MSL and CT density metrics into the PRE model suggests the potential of a promising tool for preoperative risk stratification and surgical planning.
Indexed as
Identifiers
42371102What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.